Don't Repeat Yourself (D.R.Y) while writing pipelines, and stay away from leaky abstractions, use DryPipe !
A pipeline could be described as "a bunch of programs feeding data to one another".
Programs within a pipeline tend to:
The length of the development cycle makes pipelines difficult to debug.
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A Python DSL for bioinformatics pipelines
We found that dry-pipe demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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